Ehsan Arianyan
Impact in
- Information Systems top 5%
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
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- IoT and Edge/Fog Computing
- Caching and Content Delivery
- Software-Defined Networks and 5G
- Distributed and Parallel Computing Systems
- Advanced Data Storage Technologies
Papers in
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- IoT and Edge/Fog Computing 10
- Caching and Content Delivery 5
- Advanced Data Storage Technologies 1
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- Cloud Computing and Resource Management 11
- Cloud Data Security Solutions 2
- Co-authors
- Hassan Taheri (5 shared papers)Saeed Sharifian (4 shared papers)Rajkumar Buyya (1 shared paper)Mohammad Hossein Ahmadi (2 shared papers)Seyed Ahmad Motamedi (1 shared paper)Mandana Farzaneh (1 shared paper)
In The Last Decade
Ehsan Arianyan
12 papers receiving 261 citations
Peers
Comparison fields: 5 of 26
- Information Systems 255
- Computer Networks and Communications 252
- Management Information Systems 9
- General Energy 1
- Hardware and Architecture 6
Countries citing papers authored by Ehsan Arianyan
This map shows the geographic impact of Ehsan Arianyan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ehsan Arianyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ehsan Arianyan more than expected).
Fields of papers citing papers by Ehsan Arianyan
This network shows the impact of papers produced by Ehsan Arianyan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ehsan Arianyan. The network helps show where Ehsan Arianyan may publish in the future.
Co-authors
The 6 scholars most cited alongside Ehsan Arianyan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 88 | |
| 2 | 2020 | 68 | |
| 3 | 2015 | 46 | |
| 4 | 2016 | 38 | |
| 5 | 2012 | 16 | |
| 6 | 2010 | 6 | |
| 7 | 2016 | 5 | |
| 8 | Multi Target Dynamic VM Consolidation in Cloud Data Centers Using Genetic Algorithm. | 2016 | 4 |
| 9 | 2016 | 4 | |
| 10 | New six-phase on-line resource management process for energy and sla efficient consolidation in cloud data centers. | 2018 | 3 |
| 11 | 2018 | 3 | |
| 12 | 2024 | 1 | |
| 13 | 2016 | 0 |
About Ehsan Arianyan
Ehsan Arianyan is a scholar working on Computer Networks and Communications, Information Systems, Management Information Systems, Management Science and Operations Research and Information Systems and Management, having authored 13 papers that have together received 282 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (11 papers), IoT and Edge/Fog Computing (10 papers), Caching and Content Delivery (5 papers), Cloud Data Security Solutions (2 papers), Big Data and Business Intelligence (2 papers), Data Quality and Management (2 papers), Technology Assessment and Management (1 paper) and Advanced Data Storage Technologies (1 paper). The work is most often cited by research in Information Systems (255 citations), Computer Networks and Communications (252 citations), Management Information Systems (9 citations), General Energy (1 citation) and Hardware and Architecture (6 citations). Ehsan Arianyan has collaborated with scholars based in Iran, Australia and Russia. Frequent co-authors include Hassan Taheri, Saeed Sharifian, Rajkumar Buyya, Mohammad Hossein Ahmadi, Seyed Ahmad Motamedi and Mandana Farzaneh. Their work appears in journals such as Journal of Network and Computer Applications, Computers & Electrical Engineering, Simulation Modelling Practice and Theory, The Journal of Supercomputing and Journal of information science and engineering.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.